ENSEMBLEXAI-MOTOR: A LIGHTWEIGHT FRAMEWORK FOR FAULT CLASSIFICATION IN ELECTRIC VEHICLE DRIVE MOTORS USING FEATURE SELECTION, ENSEMBLE LEARNING, AND EXPLAINABLE AI

EnsembleXAI-Motor: A Lightweight Framework for Fault Classification in Electric Vehicle Drive Motors Using Feature Selection, Ensemble Learning, and Explainable AI

As electric vehicles (EVs) are growing, the fault diagnosis in their drive motor becomes more important to have optimal performance and safety.Traditional fault detection methods suffer mainly from high false positive and false negative rates, computational complexity, and lack of tatsoul wrath foam tube transparency in decision-making methods.In a

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T4SS Effector Protein Prediction with Deep Learning

Extensive research has been carried out on bacterial secretion systems, as they can pass effector proteins directly into the cytoplasm of host cells.The correct prediction of type IV protein effectors secreted by T4SS is important, since they are known to play a noteworthy role in various human pathogens.Studies on predicting T4SS effectors involve

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The Dual Role of Oxidative Stress in Atherosclerosis and Coronary Artery Disease: Pathological Mechanisms and Diagnostic Potential

Oxidative stress plays a pivotal role in the pathogenesis of atherosclerosis and coronary artery disease (CAD), with both beneficial and detrimental effects on cardiovascular health.On one hand, the excessive production of reactive oxygen species (ROS) contributes to endothelial dysfunction, inflammation, and vascular remodeling, which are central

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